Evidence map›Paper›PMID 37416930›Full record

ArticleImmune network2023

CD103

Eun-Hye Seo, Ga-Yun Song, Chung-Sik Oh, Seong-Hyop Kim, Wan-Seop Kim, Seung-Hyun Lee

Open access · diamondAbstract read
In one paragraph

Article in Immune network, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Eun-Hye SeoBK21 Plus, Department of Cellular and Molecular Medicine, Konkuk University School of Medicine, Seoul 05030, Korea.ORCID https://orcid.org/0000-0003-2831-8267
Ga-Yun SongDepartment of Infection and Immunology, Konkuk University School of Medicine, Seoul 05030, Korea.
Chung-Sik OhDepartment of Anesthesiology and Pain Medicine, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul 05030, Korea.ORCID https://orcid.org/0000-0001-8874-5186
Seong-Hyop KimDepartment of Anesthesiology and Pain Medicine, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul 05030, Korea.ORCID https://orcid.org/0000-0001-7764-9818
Wan-Seop KimResearch Institute of Medical Science, Konkuk University School of Medicine, Seoul 05030, Korea.
Seung-Hyun LeeDepartment of Infection and Immunology, Konkuk University School of Medicine, Seoul 05030, Korea.ORCID https://orcid.org/0000-0001-8023-1404
Konkuk University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mucosal environments harbour lymphocytes, which express several adhesion molecules, including intestinal homing receptors and integrin αE/β7 (CD103). CD103 binds E-cadherin, an integrin receptor expressed in intestinal endothelial cells. Its expression not only enables homing or retention of T lymphocytes at these sites but is also associated with increased T lymphocyte activation. However, it is not yet clear how CD103 expression is related to the clinical staging of breast cancer, which is determined by factors such as the size of the tumor (T), the involvement of nearby lymph nodes (N), and presence of metastasis (M). We examined the prognostic significance of CD103 by FACS in 53 breast cancer patients and 46 healthy controls enrolled, and investigated its expression, which contributes to lymphocyte recruitment in tumor tissue. Patients with breast cancer showed increased frequencies of CD103

Indexed as

CD103E-cadherinIntegrin αE/β7Tumor-infiltrating lymphocytes

Identifiers

PMID37416930
PMCPMC10320418
OpenAlexW4382812982

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.